Senior Software Engineer, Data Platform

Relyance • New York, NY

81d • $160,000 - $190,000

About The Position

As Relyance AI's Senior Software Engineer, you will be responsible for managing and enhancing our API services, developing robust data pipelines, maintaining microservices architecture, and building scalable systems. You will also play a key role in mentoring junior engineers and creating insightful data dashboards. In this role, you'll have full ownership to design features from scratch and will be constructing the foundation on which our global data infrastructure will be built.

Requirements

• A track record of delivering scalable and reliable service components and data ingestion and processing pipelines.
• Experience with Python.
• Ability to write clear, concise, and maintainable code considering design principles and applying sound testing practices.
• Experience in designing and evolving data models and ETL pipelines.
• Proficient with public cloud concepts and delivering working solutions on public cloud infrastructure, preferably GCP (BigQuery, BigTable, Pub/Sub).
• A deeply curious mindset, proactive about continuous improvement, and excitement for learning quickly in a fast-growth environment.

Nice To Haves

• Experience with Infrastructure as Code tools, containerization and orchestration tools, and end-to-end ownership of data governance and management.
• Customer and mission-driven: motivated by bringing the most value as possible to users and shaping an industry from the ground up.
• Close attention to detail and a forward-thinking outlook.
• Excitement for a fast-paced, iterative, but heavily test-driven development environment.

Responsibilities

• Design, develop, and maintain API services using Python to ensure seamless integration and functionality.
• Create and optimize data pipelines to efficiently process and transform large datasets.
• Maintain and enhance our microservices architecture, ensuring reliability and scalability.
• Build and maintain data dashboards using tools like Retool and Tooljet to provide actionable insights to stakeholders.
• Design and implement scalable systems that can handle increasing data volumes and user demands.
• Develop systems that manage the entire lifecycle of data, ensuring data quality, security, and accessibility.

Benefits

• Equal-opportunity employer.
• Commitment to creating an inclusive environment for all employees.
• Fair and equitable compensation practices.
• Data-driven pay practices.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Industry: Publishing Industries
• Number of Employees: 51-100 employees